Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Essential Functions / Responsibilities:
Drive the design and development of deep learning technologies for health care applications such as segmentation, anomaly detection, image processing, natural language understanding, time series analysis, etc. Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions. Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports. Demonstrate algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation. Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code. Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate. Stay current on published state-of-the-art algorithms and competing technologies. Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses. Research and evaluate emerging technology, industry and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.
Qualifications / Requirements:
Position requires a Ph.D, or foreign degree equivalent, in STEM” major (Science, Technology, Engineering, Mathematics) or a related field and two (2) years of experience in the artificial intelligence/deep learning industry in a related occupation. The position also requires: 2 years of experience implementing deep learning models including CNN, RNN, LSTM and GANS or with waveform/time-series data using RNN/LSTM; 2 years of experience using PYTHON, TENSORFLOW, KERAS, CAFFE, or CNTK.
General Electric Company is an American multinational conglomerate incorporated in New York City and headquartered in Boston. As of 2018, the company operates through the following segments: aviation, healthcare, power, renewable energy, digital industry, additive manufacturing and venture capital and finance.
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